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PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
13 years 6 months ago
Entropy and Margin Maximization for Structured Output Learning
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhm...
NIPS
2000
13 years 9 months ago
Improved Output Coding for Classification Using Continuous Relaxation
Output coding is a general method for solving multiclass problems by reducing them to multiple binary classification problems. Previous research on output coding has employed, alm...
Koby Crammer, Yoram Singer
ICPR
2004
IEEE
14 years 9 months ago
Direct Condensing: An Efficient Voronoi Condensing Algorithm for Nearest Neighbor Classifiers
Voronoi condensing reduces training patterns of nearest neighbor classifiers without changing the classification boundaries. This method plays important roles not only in the near...
Takekazu Kato, Toshikazu Wada
BMCBI
2008
171views more  BMCBI 2008»
13 years 8 months ago
A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
Harri T. Kiiveri
PAMI
2010
192views more  PAMI 2010»
13 years 6 months ago
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
Carlos Alzate, Johan A. K. Suykens